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ORCIDConor Ryan
Person information
- affiliation: University of Limerick, Ireland
- affiliation (PhD 1996): University College Cork, Ireland
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Books and Theses
- 2016
[b2]Conor Ryan:
Occupant location prediction in smart buildings using association rule mining. University College Cork, Republic of Ireland, 2016- 2003
- [b1]Michael O'Neill, Conor Ryan:
Grammatical evolution - evolutionary automatic programming in an arbitrary language. Genetic programming 4, Kluwer 2003, ISBN 978-1-4020-7444-8, pp. I-XVI, 1-144
Journal Articles
- 2024
- [j27]Conor Ryan, Tobias Haist, Gennadii Laskin, Susanne Schröder
, Stephan Reichelt:
Technology Selection for Inline Topography Measurement with Rover-Borne Laser Spectrometers. Sensors 24(9): 2872 (2024) - 2023
- [j26]Gauri Vaidya, Meghana Kshirsagar, Conor Ryan:
Grammatical Evolution-Driven Algorithm for Efficient and Automatic Hyperparameter Optimisation of Neural Networks. Algorithms 16(7): 319 (2023) - [j25]Michael Kwaku Tetteh, Allan de Lima, Jack McEllin, Aidan Murphy, Douglas Mota Dias, Conor Ryan:
Evolving Multi-Output Digital Circuits Using Multi-Genome Grammatical Evolution. Algorithms 16(8): 365 (2023) - [j24]Yao Yao, Junying Liu, Conor Ryan:
Using active learning and an agent-based system to perform interactive knowledge extraction based on the COVID-19 corpus. Knowl. Eng. Rev. 38 (2023) - [j23]Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan:
Dynamic Grammar Pruning for Program Size Reduction in Symbolic Regression. SN Comput. Sci. 4(4): 402 (2023) - 2022
- [j22]Krishn Kumar Gupt, Ayman Youssef, Aidan Murphy, Muhammad Adil Raja, Conor Ryan:
GELAB - The Cutting Edge of Grammatical Evolution. IEEE Access 10: 38694-38708 (2022) - [j21]Meghana Kshirsagar, Krishn Kumar Gupt, Gauri Vaidya, Conor Ryan, Joseph P. Sullivan, Vivek Kshirsagar:
Insights Into Incorporating Trustworthiness and Ethics in AI Systems With Explainable AI. Int. J. Nat. Comput. Res. 11(1): 1-23 (2022) - [j20]Aidan Murphy, Gráinne Murphy, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan:
Human in the Loop Fuzzy Pattern Tree Evolution. SN Comput. Sci. 3(2): 163 (2022) - [j19]Michael Kwaku Tetteh, Douglas Mota Dias, Conor Ryan:
Grammatical Evolution of Complex Digital Circuits in SystemVerilog. SN Comput. Sci. 3(3): 188 (2022) - [j18]Aidan Murphy, Muhammad Sarmad Ali, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan:
Fuzzy Pattern Tree Evolution Using Grammatical Evolution. SN Comput. Sci. 3(6): 426 (2022) - 2021
- [j17]Barry Fitzgerald, Conor Ryan, Joe Sullivan:
An Early-Life NAND Flash Endurance Prediction System. IEEE Access 9: 148635-148649 (2021) - [j16]Yao Yao, Meghana Kshirsagar, Gauri Vaidya, Jens Ducrée, Conor Ryan:
Convergence of Blockchain, Autonomous Agents, and Knowledge Graph to Share Electronic Health Records. Frontiers Blockchain 4: 661238 (2021) - [j15]Muhammad Sheraz Anjum, Conor Ryan:
Seeding Grammars in Grammatical Evolution to Improve Search-Based Software Testing. SN Comput. Sci. 2(4): 280 (2021) - 2018
- [j14]Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
DICE: exploiting all bivariate dependencies in binary and multary search spaces. Memetic Comput. 10(3): 245-255 (2018) - 2017
- [j13]Conor Ryan:
A rebuttal to Whigham, Dick, and Maclaurin by one of the inventors of Grammatical Evolution: Commentary on "On the Mapping of Genotype to Phenotype in Evolutionary Algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. Genet. Program. Evolvable Mach. 18(3): 385-389 (2017) - 2014
- [j12]Raja Muhammad Atif Azad, Conor Ryan:
A Simple Approach to Lifetime Learning in Genetic Programming-Based Symbolic Regression. Evol. Comput. 22(2): 287-317 (2014) - [j11]Tom Arbuckle, Damien Hogan, Conor Ryan:
Learning predictors for flash memory endurance: a comparative study of alternative classification methods. Int. J. Comput. Intell. Stud. 3(1): 18-39 (2014) - [j10]Jeannie Fitzgerald, Conor Ryan:
Balancing exploration and exploitation in genetic programming using inversion with individualized self-adaptation. Int. J. Hybrid Intell. Syst. 11(4): 273-285 (2014) - 2012
- [j9]Muhammad Rezaul Karim, Conor Ryan:
Attributed Grammatical Evolution with Lookahead for the Multiple Knapsack Problem. Memetic Comput. 4(4): 279-302 (2012) - 2011
- [j8]Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
Evolutionary speech quality estimation in VoIP. Soft Comput. 15(1): 89-94 (2011) - [j7]Joe Sullivan, Conor Ryan:
A destructive evolutionary algorithm process. Soft Comput. 15(1): 95-102 (2011) - 2008
- [j6]Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context. IEEE Trans. Multim. 10(6): 1046-1058 (2008) - 2006
- [j5]Daniel Howard, Simon C. Roberts, Conor Ryan:
Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance. Pattern Recognit. Lett. 27(11): 1275-1288 (2006) - 2004
- [j4]R. Muhammad Atif Azad, Ali R. Ansari, Conor Ryan, Michael T. Walsh, Tim McGloughlin:
An evolutionary approach to Wall Shear Stress prediction in a grafted artery. Appl. Soft Comput. 4(2): 139-148 (2004) - 2003
- [j3]Michael O'Neill, Conor Ryan, Maarten Keijzer, Mike Cattolico:
Crossover in Grammatical Evolution. Genet. Program. Evolvable Mach. 4(1): 67-93 (2003) - 2001
- [j2]Michael O'Neill, Conor Ryan:
Grammatical evolution. IEEE Trans. Evol. Comput. 5(4): 349-358 (2001) - 2000
- [j1]Conor Ryan:
Book Review: Genetic Programming 3: Darwinian Invention and Problem Solving. Genet. Program. Evolvable Mach. 1(4): 379-381 (2000)
Conference and Workshop Papers
- 2024
- [c202]Yumnah Hasan, Talhat Khan, Darian Reyes Fernández de Bulnes, Juan F. H. Albarracín, Conor Ryan:
A Comparative Analysis of Implicit Augmentation Techniques for Breast Cancer Diagnosis Using Multiple Views. CVPR Workshops 2024: 2345-2354 - [c201]Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Jorge Luís Machado do Amaral, Joseph P. Sullivan, Conor Ryan:
Fuzzy Pattern Trees for Classification Problems Using Genetic Programming. EuroGP 2024: 3-20 - [c200]Yumnah Hasan, Allan de Lima, Fatemeh Amerehi, Darian Reyes Fernández de Bulnes, Patrick Healy, Conor Ryan:
Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation. EvoApplications@EvoStar 2024: 224-239 - [c199]Darian Reyes Fernández de Bulnes, Allan de Lima, Aidan Murphy, Douglas Mota Dias, Conor Ryan:
Feature Encapsulation by Stages Using Grammatical Evolution. GECCO Companion 2024: 531-534 - [c198]Edicson Santiago Bonilla Diaz, Enrique Naredo, Nicolas Francisco Mateo Díaz, Douglas Mota Dias, Maria Alejandra Bonilla Diaz, Susan Harnett, Conor Ryan:
Neural Architecture Search for Bearing Fault Classification. ICAART (2) 2024: 288-300 - [c197]Vedant Rathi, Meghana Kshirsagar, Conor Ryan:
Enhancing Portfolio Performance: A Random Forest Approach to Volatility Prediction and Optimization. ICAART (3) 2024: 1278-1285 - [c196]Darian Reyes Fernández de Bulnes, Allan de Lima, Edgar Galván, Conor Ryan:
Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution. PPSN (2) 2024: 105-120 - 2023
- [c195]Bilal Majeed, Samuel Carvalho, Douglas Mota Dias, Ayman Youssef, Aidan Murphy, Conor Ryan:
Performance Upgrade of Sequence Detector Evolution Using Grammatical Evolution and Lexicase Parent Selection Method. CCE 2023: 90-103 - [c194]Aidan Murphy, Anthony Ventresque, Conor Ryan:
Fuzzy Pattern Trees with Pre-classification. CCE 2023: 104-117 - [c193]Mahsa Mahdinejad, Aidan Murphy, Michael Kwaku Tetteh, Allan de Lima, Patrick Healy, Conor Ryan:
Grammar-Guided Evolution of the U-Net. EvoApplications@EvoStar 2023: 672-686 - [c192]Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan:
Leap Mapping: Improving Grammatical Evolution for Modularity Problems. GECCO Companion 2023: 555-558 - [c191]Aidan Murphy, Allan de Lima, Douglas Mota Dias, Conor Ryan:
Error and Correlation as fitness functions for Scaled Symbolic Regression in Grammatical Evolution. GECCO Companion 2023: 607-610 - [c190]Bilal Majeed, Conor Ryan, Jack McEllin, Ayman Youssef, Douglas Mota Dias, Aidan Murphy, Samuel Carvalho:
Evolving Behavioural Level Sequence Detectors in SystemVerilog Using Grammatical Evolution. ICAART (3) 2023: 475-483 - [c189]Yumnah Hasan, Aidan Murphy, Meghana Kshirsagar, Conor Ryan:
A Convolutional Neural Network Based Patch Classifier Using Mammograms. ICAART (3) 2023: 869-876 - [c188]Mahsa Mahdinejad, Aidan Murphy, Patrick Healy, Conor Ryan:
Optimising Evolution of SA-UNet for Iris Segmentation. ICAART (3) 2023: 901-908 - [c187]Yumnah Hasan, Fatemeh Amerehi, Patrick Healy, Conor Ryan:
STEM Rebalance: A Novel Approach for Tackling Imbalanced Datasets using SMOTE, Edited Nearest Neighbour, and Mixup. ICCP 2023: 3-9 - [c186]Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan:
On Switching Selection Methods to Increase Parsimony Pressure. IJCCI 2023: 96-107 - [c185]Krishn Kumar Gupt, Meghana Kshirsagar, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan:
Adaptive Case Selection for Symbolic Regression in Grammatical Evolution. IJCCI 2023: 195-205 - 2022
- [c184]Atif Rafiq, Enrique Naredo, Meghana Kshirsagar, Conor Ryan:
On the effect of embedding hierarchy within multi-objective optimization for evolving symbolic regression models. GECCO Companion 2022: 594-597 - [c183]Krishn Kumar Gupt, Meghana Kshirsagar, Lukas Rosenbauer, Joseph P. Sullivan, Douglas Mota Dias, Conor Ryan:
PreDive: preserving diversity in test cases for evolving digital circuits using grammatical evolution. GECCO Companion 2022: 719-722 - [c182]Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan:
Automated grammar-based feature selection in symbolic regression. GECCO 2022: 902-910 - [c181]Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Enrique Naredo, Joseph P. Sullivan, Conor Ryan:
Lexi2: lexicase selection with lexicographic parsimony pressure. GECCO 2022: 929-937 - [c180]Senthil Murugan, Enrique Naredo, Douglas Mota Dias, Conor Ryan, Flaviano Godínez-Jaimes, James Vincent Patten:
A Hierarchical Probabilistic Divergent Search Applied to a Binary Classification. ICAART (2) 2022: 345-353 - [c179]Meghana Kshirsagar, Tanishq More, Rutuja Lahoti, Shreya Adgaonkar, Shruti Jain, Conor Ryan:
Rethinking Traffic Management with Congestion Pricing and Vehicular Routing for Sustainable and Clean Transport. ICAART (3) 2022: 420-427 - [c178]Gauri Vaidya, Luise Ilg, Meghana Kshirsagar, Enrique Naredo, Conor Ryan:
HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution. ICSBT 2022: 57-68 - [c177]Mahsa Mahdinejad, Aidan Murphy, Patrick Healy, Conor Ryan:
Parameterising the SA-UNet using a Genetic Algorithm. IJCCI 2022: 97-104 - [c176]Meghana Kshirsagar, Gauri Vaidya, Shravani Rajguru, Pruthviraj Jadhav, Hrushabh Kale, Nishanth Shanmugam, Conor Ryan, Vivek Kshirsagar:
DECART: Planning for Decarbonising Transport Sector with Predictive Analytics - An Irish Case Study. SMARTGREENS 2022: 157-164 - 2021
- [c175]Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov:
Do Weibo Platform Experts Perform Better at Predicting Stock Market? EANN 2021: 491-502 - [c174]Aidan Murphy, Gráinne Murphy, Jorge L. M. Amaral, Douglas Mota Dias, Enrique Naredo, Conor Ryan:
Towards Incorporating Human Knowledge in Fuzzy Pattern Tree Evolution. EuroGP 2021: 66-81 - [c173]Michael Kwaku Tetteh, Douglas Mota Dias, Conor Ryan:
Evolution of Complex Combinational Logic Circuits Using Grammatical Evolution with SystemVerilog. EuroGP 2021: 146-161 - [c172]Samuel Carvalho, Joe Sullivan, Douglas Mota Dias, Enrique Naredo, Conor Ryan:
Using grammatical evolution for modelling energy consumption on a computer numerical control machine. GECCO Companion 2021: 1557-1563 - [c171]Yassir Houreh, Mahsa Mahdinejad, Enrique Naredo, Douglas Mota Dias, Conor Ryan:
HNAS: Hyper Neural Architecture Search for Image Segmentation. ICAART (2) 2021: 246-256 - [c170]Meghana Kshirsagar, Tanishq More, Rutuja Lahoti, Shreya Adgaonkar, Shruti Jain, Conor Ryan, Vivek Kshirsagar:
GREE-COCO: Green Artificial Intelligence Powered Cost Pricing Models for Congestion Control. ICAART (2) 2021: 916-923 - [c169]Vijay Sambhe, Shanmukha Rajesh, Enrique Naredo, Douglas Mota Dias, Meghana Kshirsagar, Conor Ryan:
Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites. ICAART (2) 2021: 1241-1248 - [c168]Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan:
AutoGE: A Tool for Estimation of Grammatical Evolution Models. ICAART (2) 2021: 1274-1281 - [c167]Krishn Kumar Gupt, Meghana Kshirsagar, Joseph P. Sullivan, Conor Ryan:
Automatic Test Case Generation for Vulnerability Analysis of Galois Field Arithmetic Circuits. CSP 2021: 32-37 - [c166]Conor Ryan, Meghana Kshirsagar, Krishn Kumar Gupt, Lukas Rosenbauer, Joseph P. Sullivan:
Hierarchical Clustering Driven Test Case Selection in Digital Circuits. ICSOFT 2021: 589-596 - [c165]Atif Rafiq, Enrique Naredo, Meghana Kshirsagar, Conor Ryan:
Pyramid-Z: Evolving Hierarchical Specialists in Genetic Algorithms. IJCCI 2021: 49-58 - [c164]Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan:
Towards Automatic Grammatical Evolution for Real-world Symbolic Regression. IJCCI 2021: 68-78 - [c163]Ayman Youssef, Bilal Majeed, Conor Ryan:
Optimizing combinational logic circuits using Grammatical Evolution. NILES 2021: 87-92 - [c162]Meghana Kshirsagar, Rutuja Lahoti, Tanishq More, Conor Ryan:
GREECOPE: Green Computing with Piezoelectric Effect. SMARTGREENS 2021: 164-171 - 2020
- [c161]Aidan Murphy, Conor Ryan:
Improving Module Identification and Use in Grammatical Evolution. CEC 2020: 1-7 - [c160]Conor Ryan, Atif Rafiq, Enrique Naredo:
Pyramid: A Hierarchical Approach to Scaling Down Population Size in Genetic Algorithms. CEC 2020: 1-8 - [c159]Muhammad Sheraz Anjum, Conor Ryan:
Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing. EuroGP 2020: 18-34 - [c158]Enrique Naredo, Conor Ryan, Ivan Guevara, Tiziana Margaria, Paulo Urbano, Leonardo Trujillo:
General controllers evolved through grammatical evolution with a divergent search. GECCO Companion 2020: 243-244 - [c157]Muhammad Sheraz Anjum, Conor Ryan:
Scalability analysis of grammatical evolution based test data generation. GECCO 2020: 1213-1221 - [c156]Conor Ryan, Meghana Kshirsagar, Purva Chaudhari, Rushikesh Jachak:
GETS: Grammatical Evolution based Optimization of Smoothing Parameters in Univariate Time Series Forecasting. ICAART (2) 2020: 595-602 - [c155]Evan Tummon, Muhammad Adil Raja, Conor Ryan:
Trading Cryptocurrency with Deep Deterministic Policy Gradients. IDEAL (1) 2020: 245-256 - [c154]Muhammad Adil Raja, Aidan Murphy, Conor Ryan:
GELAB and Hybrid Optimization Using Grammatical Evolution. IDEAL (1) 2020: 292-303 - [c153]Conor Ryan, Michael Kwaku Tetteh, Douglas Mota Dias:
Behavioural Modelling of Digital Circuits in System Verilog using Grammatical Evolution. IJCCI 2020: 28-39 - [c152]Aidan Murphy, Muhammad Sarmad Ali, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan:
Grammar-based Fuzzy Pattern Trees for Classification Problems. IJCCI 2020: 71-80 - [c151]Meghana Kshirsagar, Rushikesh Jachak, Purva Chaudhari, Conor Ryan:
GEMO: Grammatical Evolution Memory Optimization System. IJCCI 2020: 184-191 - [c150]Vipul Popat, Mahsa Mahdinejad, Oscar Dalmau Cedeño, Enrique Naredo, Conor Ryan:
GA-based U-Net Architecture Optimization Applied to Retina Blood Vessel Segmentation. IJCCI 2020: 192-199 - 2019
- [c149]Muhammad Sheraz Anjum, Conor Ryan:
Ariadne: Evolving Test Data Using Grammatical Evolution. EuroGP 2019: 3-18 - [c148]Mahmoud Elbattah, Conor Ryan:
Learning Triple Sequence Patterns in Knowledge Graphs to Predict Inconsistencies. KMIS 2019: 435-441 - 2018
- [c147]Barry Fitzgerald, Jeannie Fitzgerald, Conor Ryan, Joe Sullivan:
A Comparative Study of Classification Methods for Flash Memory Error Rate Prediction. AMLTA 2018: 385-394 - [c146]Muhammad Adil Raja, Conor Ryan:
GELAB - A Matlab Toolbox for Grammatical Evolution. IDEAL (2) 2018: 191-200 - [c145]Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Daniel Riordan, Joseph Walsh, Aidan Murphy, Conor Ryan:
Computer Vision for 3D Perception - A Review. IntelliSys (2) 2018: 788-804 - 2017
- [c144]Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
DICE: A New Family of Bivariate Estimation of Distribution Algorithms Based on Dichotomised Multivariate Gaussian Distributions. EvoApplications (1) 2017: 670-685 - [c143]Barry Fitzgerald, Damien Hogan, Conor Ryan, Joe Sullivan:
Endurance prediction and error Reduction in NAND flash using machine learning. NVMTS 2017: 1-8 - 2016
- [c142]Conor Ryan, Jeannie Fitzgerald, Taras Kowaliw, René Doursat, Simon Carrignon, David Medernach:
Evolution of Heterogeneous Cellular Automata in Fluctuating Environments. ALIFE 2016: 216-223 - [c141]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
Automatic lock-free parallel programming on multi-core processors. CEC 2016: 4143-4150 - [c140]Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
Principled Evolutionary Algorithm Design and the Kernel Trick. GECCO (Companion) 2016: 149-150 - [c139]David Medernach, Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
A New Wave: A Dynamic Approach to Genetic Programming. GECCO 2016: 757-764 - [c138]Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
Principled Evolutionary Algorithm search operator design and the kernel trick. SSCI 2016: 1-9 - 2015
- [c137]David Medernach, Jeannie Fitzgerald, Simon Carrignon, Conor Ryan:
Evolutionary Progress in Heterogenous Cellular Automata (HetCA). ECAL 2015: 512-519 - [c136]James Vincent Patten, Conor Ryan:
Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification. EuroGP 2015: 105-112 - [c135]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
Automatic Evolution of Parallel Recursive Programs. EuroGP 2015: 167-178 - [c134]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
Automatic Evolution of Parallel Sorting Programs on Multi-cores. EvoApplications 2015: 706-717 - [c133]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs. GECCO 2015: 1007-1014 - [c132]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution. GECCO (Companion) 2015: 1059-1066 - [c131]Jeannie M. Fitzgerald, Conor Ryan, David Medernach, Krzysztof Krawiec:
An Integrated Approach to Stage 1 Breast Cancer Detection. GECCO 2015: 1199-1206 - [c130]David Medernach, Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
Wave: Incremental Erosion of Residual Error. GECCO (Companion) 2015: 1285-1292 - [c129]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms. GECCO (Companion) 2015: 1369-1370 - [c128]David Medernach, Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
Wave: A Genetic Programming Approach to Divide and Conquer. GECCO (Companion) 2015: 1435-1436 - [c127]Jeannie M. Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution. IJCCI (ECTA) 2015: 83-94 - [c126]Jeannie M. Fitzgerald, Conor Ryan:
For Sale or Wanted: Directed Crossover in Adjudicated Space. IJCCI (ECTA) 2015: 95-105 - [c125]Jeannie M. Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification. IJCCI (Selected Papers) 2015: 113-134 - [c124]Jeannie M. Fitzgerald, Conor Ryan:
Adjudicated GP: A Behavioural Approach to Selective Breeding. IJCCI (Selected Papers) 2015: 135-154 - 2014
- [c123]Conor Ryan, Krzysztof Krawiec, Una-May O'Reilly, Jeannie Fitzgerald, David Medernach:
Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming. EuroGP 2014: 162-173 - [c122]R. Muhammad Atif Azad, Conor Ryan:
The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution. EuroGP 2014: 186-197 - [c121]Conor Higgins, Conor Ryan, Áine Kearns, Mikael Fernström:
The creation and facilitation of speech and language therapy sessions for individuals with aphasia. GECCO (Companion) 2014: 109-110 - [c120]R. Muhammad Atif Azad, David Medernach, Conor Ryan:
Efficient interleaved sampling of training data in genetic programming. GECCO (Companion) 2014: 127-128 - [c119]Gopinath Chennupati, Conor Ryan, R. Muhammad Atif Azad:
Predict the success or failure of an evolutionary algorithm run. GECCO (Companion) 2014: 131-132 - [c118]Muhammad Rezaul Karim, Conor Ryan:
On improving grammatical evolution performance in symbolic regression with attribute grammar. GECCO (Companion) 2014: 139-140 - [c117]Jeannie Fitzgerald, Conor Ryan:
On size, complexity and generalisation error in GP. GECCO 2014: 903-910 - [c116]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
Multi-core GE: automatic evolution of CPU based multi-core parallel programs. GECCO (Companion) 2014: 1041-1044 - [c115]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan:
Predict the performance of GE with an ACO based machine learning algorithm. GECCO (Companion) 2014: 1353-1360 - [c114]R. Muhammad Atif Azad, David Medernach, Conor Ryan:
Efficient approaches to interleaved sampling of training data for symbolic regression. NaBIC 2014: 176-183 - [c113]Gopinath Chennupati, Jeannie Fitzgerald, Conor Ryan:
On the efficiency of Multi-core Grammatical Evolution (MCGE) evolving multi-core parallel programs. NaBIC 2014: 238-243 - [c112]Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
On Effective and Inexpensive Local Search Techniques in Genetic Programming Regression. PPSN 2014: 444-453 - 2013
- [c111]Damien Hogan, Tom Arbuckle, Conor Ryan:
How Early and with How Little Data? Using Genetic Programming to Evolve Endurance Classifiers for MLC NAND Flash Memory. EuroGP 2013: 253-264 - [c110]Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
Bootstrapping to reduce bloat and improve generalisation in genetic programming. GECCO (Companion) 2013: 141-142 - [c109]David Medernach, Taras Kowaliw, Conor Ryan, René Doursat:
Long-term evolutionary dynamics in heterogeneous cellular automata. GECCO 2013: 231-238 - [c108]Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan:
A bootstrapping approach to reduce over-fitting in genetic programming. GECCO (Companion) 2013: 1113-1120 - [c107]Damien Hogan, Tom Arbuckle, Conor Ryan:
Estimating MLC NAND flash endurance: a genetic programming based symbolic regression application. GECCO 2013: 1285-1292 - [c106]Conor Ryan, Joe Sullivan, Barry Fitzgerald:
Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution. GPTP 2013: 85-100 - [c105]Conor Higgins, Áine Kearns, Conor Ryan, Mikael Fernström, Sue Franklin:
Towards Unsupervised Remote Therapy for Individuals with Aphasia. MobiCASE 2013: 265-268 - [c104]Jeannie Fitzgerald, Conor Ryan:
Individualized self-adaptive genetic operators with adaptive selection in Genetic Programming. NaBIC 2013: 232-237 - [c103]Conor Ryan, Kenneth N. Brown:
Predicting Occupant Locations Using Association Rule Mining. SGAI Conf. 2013: 63-77 - 2012
- [c102]Tom Arbuckle, Damien Hogan, Conor Ryan:
Optimising Flash non-volatile memory using machine learning: a project overview. BCI 2012: 235-238 - [c101]Jeannie Fitzgerald, Conor Ryan:
Exploring boundaries: optimising individual class boundaries for binary classification problem. GECCO 2012: 743-750 - [c100]Muhammad Rezaul Karim, Conor Ryan:
Sensitive ants are sensible ants. GECCO 2012: 775-782 - [c99]Tom Arbuckle, Damien Hogan, Conor Ryan:
Optimising Flash Memory for Differing Usage Scenarios: Goals and Approach. ICHIT (2) 2012: 137-140 - [c98]James Vincent Patten, Conor Ryan:
EVO-CBG - An Evolutionary System for Automatically Generating Character Behaviours for Game Environments. ICHIT (1) 2012: 211-216 - [c97]Daniel Howard, Conor Ryan:
Testing a Novel Attribute Grammar Genetic Programming Algorithm. ICHIT (1) 2012: 224-231 - [c96]Damien Hogan, Tom Arbuckle, Conor Ryan, Joe Sullivan:
Evolving a Retention Period Classifier for use with Flash Memory. IJCCI 2012: 24-33 - 2011
- [c95]Alie El-Din Mady, Gregory M. Provan, Conor Ryan, Kenneth N. Brown:
Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation. AAAI 2011: 1371-1376 - [c94]Muhammad Rezaul Karim, Conor Ryan:
A New Approach to Solving 0-1 Multiconstraint Knapsack Problems Using Attribute Grammar with Lookahead. EuroGP 2011: 250-261 - [c93]David Wallin, Conor Ryan, R. Muhammad Atif Azad:
Candidate oversampling prefers two to tango: estimation of distribution algorithms. GECCO (Companion) 2011: 65-66 - [c92]R. Muhammad Atif Azad, Conor Ryan:
Variance based selection to improve test set performance in genetic programming. GECCO 2011: 1315-1322 - [c91]Jeannie Fitzgerald, Conor Ryan:
Drawing boundaries: using individual evolved class boundaries for binary classification problems. GECCO 2011: 1347-1354 - [c90]Daniel Howard, Conor Ryan, J. J. Collins:
Attribute Grammar Genetic Programming Algorithm for Automatic Code Parallelization. ICHIT (1) 2011: 250-257 - [c89]Conor Ryan, J. J. Collins, Daniel Howard:
Optimizing for Change through Shades. ICHIT (1) 2011: 266-273 - [c88]Muhammad Rezaul Karim, Conor Ryan:
A Simple Improvement Heuristic for Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem. ICHIT (1) 2011: 274-281 - [c87]Jeannie Fitzgerald, Conor Ryan:
Validation Sets for Evolutionary Curtailment with Improved Generalisation. ICHIT (1) 2011: 282-289 - [c86]Alan Sheahan, Conor Ryan:
Graph Metrics for Predicting Speedup in Static Multiprocessor Scheduling. ICHIT (1) 2011: 391-398 - [c85]Muhammad Rezaul Karim, Conor Ryan:
Degeneracy Reduction or Duplicate Elimination? An Analysis on the Performance of Attributed Grammatical Evolution with Lookahead to Solve the Multiple Knapsack Problem. NICSO 2011: 247-266 - [c84]Jeannie Fitzgerald, Conor Ryan:
Validation Sets, Genetic Programming and Generalisation. SGAI Conf. 2011: 79-92 - 2010
- [c83]Fiacc Larkin, Conor Ryan:
Modesty Is the Best Policy: Automatic Discovery of Viable Forecasting Goals in Financial Data. EvoApplications (2) 2010: 202-211 - [c82]R. Muhammad Atif Azad, Conor Ryan:
Abstract functions and lifetime learning in genetic programming for symbolic regression. GECCO 2010: 893-900 - [c81]Conor Ryan:
Grammatical evolution tutorial. GECCO (Companion) 2010: 2385-2412 - [c80]Alie El-Din Mady, Menouer Boubekeur, Gregory M. Provan, Conor Ryan, Kenneth N. Brown:
Intelligent Hybrid Control Model for Lighting Systems Using Constraint-Based Optimisation. SOCO 2010: 249-259 - 2009
- [c79]David Wallin, Conor Ryan:
Using over-sampling in a Bayesian classifier EDA to solve deceptive and hierarchical problems. IEEE Congress on Evolutionary Computation 2009: 1660-1667 - [c78]Dan Costelloe, Conor Ryan:
On Improving Generalisation in Genetic Programming. EuroGP 2009: 61-72 - [c77]David Wallin, Conor Ryan:
Evaluation of population partitioning schemes in bayesian classifier EDAs: estimation of distribution algoithms. GECCO 2009: 469-476 - [c76]Fiacc Larkin, Conor Ryan:
Avoiding the pitfalls of noisy fitness functions with genetic algorithms. GECCO 2009: 1861-1862 - [c75]Conor Ryan:
Grammatical evolution. GECCO (Companion) 2009: 2907-2948 - 2008
- [c74]Fiacc Larkin, Conor Ryan:
Good News: Using News Feeds with Genetic Programming to Predict Stock Prices. EuroGP 2008: 49-60 - [c73]Gearoid Murphy, Conor Ryan:
A Simple Powerful Constraint for Genetic Programming. EuroGP 2008: 146-157 - [c72]Alan Sheahan, Conor Ryan:
A transformation-based approach to static multiprocessor scheduling. GECCO 2008: 1041-1048 - [c71]Gearoid Murphy, Conor Ryan:
Exploiting the path of least resistance in evolution. GECCO 2008: 1251-1258 - [c70]Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
VoIP speech quality estimation in a mixed context with genetic programming. GECCO 2008: 1627-1634 - [c69]R. Muhammad Atif Azad, Conor Ryan:
Gecco 2008 grammatical evolution tutorial. GECCO (Companion) 2008: 2339-2366 - 2007
- [c68]David Wallin, Conor Ryan:
On the diversity of diversity. IEEE Congress on Evolutionary Computation 2007: 95-102 - [c67]Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
Real-Time, Non-intrusive Evaluation of VoIP. EuroGP 2007: 217-228 - [c66]Daniel Howard, Simon C. Roberts, Adrian Brezulianu, Conor Ryan:
Initial Exploitation of the SONNET Derived Taxonomy of Mammographic Parenchymal Patterns. FBIT 2007: 390-395 - [c65]Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
An Evolutionary Approach to Speech Quality Estimation. FBIT 2007: 757-760 - [c64]Joe Sullivan, Conor Ryan:
A Destructive Evolutionary Algorithm Process. FBIT 2007: 761-764 - [c63]Hammad Majeed, Conor Ryan:
A New Approach to Calculate the Best Context of a Tree and its Application in Defining a Constructive, Context Aware Crossover for GP. FBIT 2007: 765-768 - [c62]Gearoid Murphy, Conor Ryan, Daniel Howard:
[Seeding Methods for Run Transferable Libraries] Capturing Domain Relevant Functionality through Schematic Manipulation for Genetic Programming. FBIT 2007: 769-772 - [c61]David Wallin, Conor Ryan:
Maintaining Diversity in EDAs for Real-Valued Optimisation Problems. FBIT 2007: 795-800 - [c60]Hammad Majeed, Conor Ryan:
Context-aware mutation: a modular, context aware mutation operator for genetic programming. GECCO 2007: 1651-1658 - [c59]Hammad Majeed, Conor Ryan:
On the constructiveness of context-aware crossover. GECCO 2007: 1659-1666 - [c58]Gearoid Murphy, Conor Ryan:
Seeding methods for run transferable libraries. GECCO 2007: 1755 - [c57]Joe Sullivan, Conor Ryan:
A destructive evolutionary process: a pilot implementation. GECCO 2007: 2167-2173 - [c56]Dan Costelloe, Conor Ryan:
Towards models of user preferences in interactive musical evolution. GECCO 2007: 2254 - [c55]Conor Ryan:
Grammatical evolution. GECCO (Companion) 2007: 3609-3626 - [c54]Thomas Collins, J. J. Collins, Conor Ryan:
Improved occupancy grid learning - the conform approach to occupancy grid mapping. ICINCO-RA (2) 2007: 492-497 - 2006
- [c53]Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Dorel Picovici, Conor Ryan:
Non-intrusive quality evaluation of VoIP using genetic programming. BIONETICS 2006: 31 - [c52]Miguel Nicolau, Conor Ryan:
Genetic Operators and Sequencing in the GAuGE System. IEEE Congress on Evolutionary Computation 2006: 1561-1568 - [c51]Hammad Majeed, Conor Ryan:
A Less Destructive, Context-Aware Crossover Operator for GP. EuroGP 2006: 36-48 - [c50]Miguel Nicolau, Conor Ryan:
Solving Sudoku with the GAuGE System. EuroGP 2006: 213-224 - [c49]Hammad Majeed, Conor Ryan:
Using context-aware crossover to improve the performance of GP. GECCO 2006: 847-854 - 2005
- [c48]David Wallin, Conor Ryan, R. Muhammad Atif Azad:
Symbiogenetic coevolution. Congress on Evolutionary Computation 2005: 1613-1620 - [c47]David Power, Conor Ryan, R. Muhammad Atif Azad:
Promoting diversity using migration strategies in distributed genetic algorithms. Congress on Evolutionary Computation 2005: 1831-1838 - [c46]Maarten Keijzer, Conor Ryan, Gearoid Murphy, Mike Cattolico:
Undirected Training of Run Transferable Libraries. EuroGP 2005: 361-370 - [c45]Christopher R. Stephens, Miguel Nicolau, Conor Ryan:
Zero Is ot a Four Letter Word: Studies in the Evolution of Language. EuroGP 2005: 371-380 - [c44]Hammad Majeed, Conor Ryan, R. Muhammad Atif Azad:
Evaluating GP schema in context. GECCO 2005: 1773-1774 - [c43]Barry Downes, Tom Pfeifer, Conor Ryan:
Mobile Operator Publishing and Entertainment Platform. ICMB 2005: 180-186 - 2004
- [c42]Miguel Nicolau, Conor Ryan:
Efficient Crossover in the GAuGE System. EuroGP 2004: 125-137 - [c41]Michael O'Neill, Conor Ryan:
Grammatical Evolution by Grammatical Evolution: The Evolution of Grammar and Genetic Code. EuroGP 2004: 138-149 - [c40]Eoin Ryan, R. Muhammad Atif Azad, Conor Ryan:
On the Performance of Genetic Operators and the Random Key Representation. EuroGP 2004: 162-173 - [c39]Dan Costelloe, Conor Ryan:
Genetic Programming for Subjective Fitness Function Identification. EuroGP 2004: 259-268 - [c38]Maarten Keijzer, Conor Ryan, Mike Cattolico:
Run Transferable Libraries - Learning Functional Bias in Problem Domains. GECCO (2) 2004: 531-542 - [c37]Conor Ryan, Hammad Majeed, R. Muhammad Atif Azad:
A Competitive Building Block Hypothesis. GECCO (2) 2004: 654-665 - [c36]Miguel Nicolau, Conor Ryan:
Crossover, Population Dynamics, and Convergence in the GAuGE System. GECCO (1) 2004: 1414-1425 - 2003
- [c35]Miguel Nicolau, Anne Auger, Conor Ryan:
Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System. Artificial Evolution 2003: 15-26 - [c34]Miguel Nicolau, Conor Ryan:
How Functional Dependency Adapts to Salience Hierarchy in the GAuGE System. EuroGP 2003: 153-163 - [c33]Michael O'Neill, Ian Dempsey, Anthony Brabazon, Conor Ryan:
Analysis of a Digit Concatenation Approach to Constant Creation. EuroGP 2003: 173-182 - [c32]Conor Ryan, R. Muhammad Atif Azad:
Sensible Initialisation in Chorus. EuroGP 2003: 394-403 - [c31]Conor Ryan, Maarten Keijzer:
An Analysis of Diversity of Constants of Genetic Programming. EuroGP 2003: 404-413 - [c30]Conor Ryan, J. J. Collins, David Wallin:
Non-stationary Function Optimization Using Polygenic Inheritance. GECCO 2003: 1320-1331 - [c29]R. Muhammad Atif Azad, Conor Ryan:
Structural Emergence with Order Independent Representations. GECCO 2003: 1626-1638 - [c28]Conor Ryan, Maarten Keijzer, Miguel Nicolau:
On the Avoidance of Fruitless Wraps in Grammatical Evolution. GECCO 2003: 1752-1763 - 2002
- [c27]Anthony Brabazon, Michael O'Neill, Conor Ryan, Robin Matthews:
Evolving Classifiers to Model the Relationship between Strategy and Corporate Performance Using Grammatical Evolution. EuroGP 2002: 103-112 - [c26]Maarten Keijzer, Michael O'Neill, Conor Ryan, Mike Cattolico:
Grammatical Evolution Rules: The Mod and the Bucket Rule. EuroGP 2002: 123-130 - [c25]Conor Ryan, R. Muhammad Atif Azad, Alan Sheahan, Michael O'Neill:
No Coercion and No Prohibition, a Position Independent Encoding Scheme for Evolutionary Algorithms - The Chorus System. EuroGP 2002: 131-142 - [c24]John O'Sullivan, Conor Ryan:
An Investigation into the Use of Different Search Strategies with Grammatical Evolution. EuroGP 2002: 268-277 - [c23]Conor Ryan, Miguel Nicolau, Michael O'Neill:
Genetic Algorithms Using Grammatical Evolution. EuroGP 2002: 278-287 - [c22]Daniel Howard, Simon C. Roberts, Conor Ryan:
The Boru Data Crawler for Object Detection Tasks in Machine Vision. EvoWorkshops 2002: 222-232 - [c21]Miguel Nicolau, Conor Ryan:
LINKGAUGE: Tackling Hard Deceptive Problems With A New Linkage Learning Genetic Algorithm. GECCO 2002: 488-494 - [c20]R. Muhammad Atif Azad, Conor Ryan, Mark E. Burke, Ali R. Ansari:
A Re-examination Of The Cart Centering Problem Using The Chorus System. GECCO 2002: 707-715 - [c19]Daniel Howard, Simon C. Roberts, Conor Ryan:
Machine Vision: Exploring Context With Genetic Programming. GECCO 2002: 756-763 - [c18]Anthony Brabazon, Michael O'Neill, Robin Matthews, Conor Ryan:
Grammatical Evolution And Corporate Failure Prediction. GECCO 2002: 1011-1018 - 2001
- [c17]Maarten Keijzer, Conor Ryan, Michael O'Neill, Mike Cattolico, Vladan Babovic:
Ripple Crossover in Genetic Programming. EuroGP 2001: 74-86 - [c16]Michael O'Neill, Conor Ryan, Maarten Keijzer, Mike Cattolico:
Crossover in Grammatical Evolution: The Search Continues. EuroGP 2001: 337-347 - [c15]Michael O'Neill, Anthony Brabazon, Conor Ryan, J. J. Collins:
Evolving Market Index Trading Rules Using Grammatical Evolution. EvoWorkshops 2001: 343-352 - 2000
- [c14]Michael O'Neill, Conor Ryan:
Crossover in Grammatical Evolution: A Smooth Operator?. EuroGP 2000: 149-162 - [c13]Conor Ryan, Laur Ivan:
Paragen - The First Results. EuroGP 2000: 338-348 - [c12]Michael O'Neill, Conor Ryan:
Grammar based function definition in Grammatical Evolution. GECCO 2000: 485-490 - 1999
- [c11]Michael O'Neill, Conor Ryan:
Genetic Code Degeneracy: Implications for Grammatical. ECAL 1999: 149-153 - [c10]Michael O'Neill, Conor Ryan:
Evolving Multi-line Compilable C Programs. EuroGP 1999: 83-92 - [c9]Conor Ryan, Laur Ivan:
Automatic Parallelization of Arbitrary Programs. EuroGP 1999: 244-254 - [c8]J. J. Collins, Conor Ryan:
Non-stationary Function Optimization using Polygenic Inheritance. GECCO 1999: 781 - [c7]Conor Ryan, Laur Ivan:
Evolving Equivalent Parallel Programs: Sequences and Iterative Instructions. PDPTA 1999: 2006-2011 - 1998
- [c6]Conor Ryan, J. J. Collins, Michael O'Neill:
Grammatical Evolution: Evolving Programs for an Arbitrary Language. EuroGP 1998: 83-96 - [c5]Conor Ryan, J. J. Collins:
Polygenic Inheritance - A Haploid Scheme that Can Outperform Diploidy. PPSN 1998: 178-187 - 1997
- [c4]Conor Ryan, Paul Walsh:
Paragen II: Evolving Parallel Transformation Rules. Fuzzy Days 1997: 573 - [c3]Paul Walsh, Conor Ryan:
Automatic Parallelization for Distributed Memory Machines using Genetic Programming. PARCO 1997: 297-300 - 1995
- [c2]Conor Ryan:
Racial harmony and Function Optimization in Genetic Algorithms - The Races Genetic Algorithm. Evolutionary Programming 1995: 109-125 - [c1]Paul Walsh, Conor Ryan:
Automatic Conversion of Programs from Serial to Parallel using Genetic Programming - The Paragen System. PARCO 1995: 415-422
Parts in Books or Collections
- 2019
- [p4]Barry Fitzgerald, Conor Ryan, Joe Sullivan:
An Optimal Machine Learning Classification Model for Flash Memory Bit Error Prediction. Machine Learning Paradigms 2019: 89-110 - 2018
- [p3]Conor Ryan, Michael O'Neill, J. J. Collins:
Introduction to 20 Years of Grammatical Evolution. Handbook of Grammatical Evolution 2018: 1-21 - [p2]R. Muhammad Atif Azad, Conor Ryan:
Comparing Methods to Creating Constants in Grammatical Evolution. Handbook of Grammatical Evolution 2018: 245-262 - [p1]Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan, Stephan J. Eidenbenz, Nandakishore Santhi:
Synthesis of Parallel Programs on Multi-Cores. Handbook of Grammatical Evolution 2018: 289-315
Editorship
- 2018
- [e8]Conor Ryan, Michael O'Neill, J. J. Collins:
Handbook of Grammatical Evolution. Springer 2018, ISBN 978-3-319-78716-9 [contents] - 2015
- [e7]Amir Hossein Gandomi, Amir Hossein Alavi, Conor Ryan:
Handbook of Genetic Programming Applications. Springer 2015, ISBN 978-3-319-20882-4 [contents] - 2008
- [e6]Conor Ryan, Maarten Keijzer:
Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008. ACM 2008, ISBN 978-1-60558-130-9 [contents] - [e5]Conor Ryan, Maarten Keijzer:
Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008, Companion Material. ACM 2008, ISBN 978-1-60558-131-6 [contents] - 2003
- [e4]Conor Ryan, Terence Soule, Maarten Keijzer, Edward P. K. Tsang, Riccardo Poli, Ernesto Costa:
Genetic Programming, 6th European Conference, EuroGP 2003, Essex, UK, April 14-16, 2003. Proceedings. Lecture Notes in Computer Science 2610, Springer 2003, ISBN 3-540-00971-X [contents] - 2002
- [e3]Michael O'Neill, Richard F. E. Sutcliffe, Conor Ryan, Malachy Eaton, Niall Griffith:
Artificial Intelligence and Cognitive Science, 13th Irish International Conference, AICS 2002, Limerick, Ireland, September 12-13, 2002, Proceedings. Lecture Notes in Computer Science 2464, Springer 2002, ISBN 3-540-44184-0 [contents] - [e2]James A. Foster, Evelyne Lutton, Julian F. Miller, Conor Ryan, Andrea Tettamanzi:
Genetic Programming, 5th European Conference, EuroGP 2002, Kinsale, Ireland, April 3-5, 2002, Proceedings. Lecture Notes in Computer Science 2278, Springer 2002, ISBN 3-540-43378-3 [contents] - 2001
- [e1]Julian F. Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea Tettamanzi, William B. Langdon:
Genetic Programming, 4th European Conference, EuroGP 2001, Lake Como, Italy, April 18-20, 2001, Proceedings. Lecture Notes in Computer Science 2038, Springer 2001, ISBN 3-540-41899-7 [contents]
Reference Works
- 2015
- [r1]Conor Ryan, Jeannie Fitzgerald, Krzysztof Krawiec, David Medernach:
Image Classification with Genetic Programming: Building a Stage 1 Computer Aided Detector for Breast Cancer. Handbook of Genetic Programming Applications 2015: 245-287
Informal and Other Publications
- 2024
- [i4]Yumnah Hasan, Allan de Lima, Fatemeh Amerehi, Darian Reyes Fernández de Bulnes, Patrick Healy, Conor Ryan:
Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation. CoRR abs/2401.14255 (2024) - [i3]Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov:
Do Weibo platform experts perform better at predicting stock market? CoRR abs/2403.00772 (2024) - 2023
- [i2]Yumnah Hasan, Fatemeh Amerehi, Patrick Healy, Conor Ryan:
STEM Rebalance: A Novel Approach for Tackling Imbalanced Datasets using SMOTE, Edited Nearest Neighbour, and Mixup. CoRR abs/2311.07504 (2023) - [i1]Krishn Kumar Gupt, Meghana Kshirsagar, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan:
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution. CoRR abs/2312.14321 (2023)
Coauthor Index
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